Integration of BIM and SHM for Concrete Buildings Using Digital Twin Technology

The integration of Building Information Modeling (BIM) and Structural Health Monitoring (SHM) through digital twin technology represents a transformative advancement in the lifecycle management of concrete buildings. While BIM provides a detailed digital representation of physical assets, SHM systems enable real-time assessment of structural integrity under operational and environmental loads. However, the full potential of these tools remains underutilized due to the lack of seamless integration frameworks. This study proposes a novel digital twin architecture that bridges BIM and SHM data in a unified environment to enable predictive maintenance, real-time monitoring, and informed decision-making. A hybrid model incorporating sensor data acquisition, cloud-based analytics, and a dynamic BIM environment is developed and validated through a simulated case study of a mid-rise concrete structure. Results demonstrate significant improvements in anomaly detection accuracy, system responsiveness, and lifecycle cost reduction. The findings underscore the promise of digital twin-enhanced BIM-SHM integration in improving the resilience, sustainability, and performance of modern concrete infrastructure.

Keywords:

Building Information Modeling (BIM) , Structural Health Monitoring (SHM) , Digital Twin , Concrete Structures , Real-Time Monitoring , Predictive Maintenance , Smart Infrastructure , Sensor Integration , Lifecycle Management , Data-Driven Modeling